Triple
T664613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sindhi |
E12831
|
entity |
| Predicate | hasScriptStandardization |
P7508
|
FINISHED |
| Object | standardized Arabic-based script in Pakistan |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: standardized Arabic-based script in Pakistan | Statement: [Sindhi, hasScriptStandardization, standardized Arabic-based script in Pakistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScriptStandardization Context triple: [Sindhi, hasScriptStandardization, standardized Arabic-based script in Pakistan]
-
A.
hasStandardizationEffort
Indicates that there is an organized effort or process to standardize something, such as practices, formats, or specifications, across relevant entities or contexts.
-
B.
hasStandardizationBody
Indicates that an entity is associated with, governed by, or defined by a specific standards-setting organization or authority.
-
C.
usesStandard
Indicates that one entity adopts, follows, or operates according to a specified standard defined by another entity or reference.
-
D.
standardizedIn
chosen
Indicates that something has been formally defined, regulated, or made uniform within a particular standard, framework, or jurisdiction.
-
E.
standardizedFor
Indicates that something has been adjusted or converted to conform to a common standard, format, or reference so it can be consistently compared or used.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fd3d8fc8190866af5c76c08f486 |
completed | March 1, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69a49d16cff881908c8d2c3fe4d1d6fb |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.